REVOLUTIONARY Naive Rag Application for beginners | llama3.2 | semantic chunking | ollama

Описание к видео REVOLUTIONARY Naive Rag Application for beginners | llama3.2 | semantic chunking | ollama

Rag playlist :    • RAG playlist | End-to-End projects | ...  
Gemini series:   • Gemini Series 1.5 pro | flash | googl...  
Generative AI projects:   • LLM models  
Python course playlist:    • Python course for beginner to advance...  
python projects:    • Python projects  

In this video I am going to explain Naive Rag application using splitting, chunking , embedding and vector store techniques using llama3.2 model via ollama in google colab.

code:https://colab.research.google.com/dri...


🔗 Connect with us
information website: https://linktr.ee/techcodio_23
Social media platforms:
techcodio LinkedIn page:   / techcodio  
LinkedIn :  / adepubharathkumar  
channel Instagram:   / techcodio  
GitHub: https://github.com/bharath23-design
personal Instagram:   / bharath_roxzer  
Thank you for watching our videos and please do subscribe for more videos!








Google Gemini models
end to end llm projects Gemini
Build rag application using Gemini 1.5 pro flash
Vision LLM projects using Gemini
how to use Gemini API models
Language translator Gemini projects
Gemini LLM projects
Gemini 1.5 pro
Gemini 1.5 flash
gemma models code gemma shield gemma
Google bard
REVOLUTIONARY Naive Rag Application for beginners | llama3.2 | semantic chunking | ollama
naive rag application for beginners
Rag application for beginners
Chunking techniques
semantic chunking
FAISS vector store
Hugging face embedding
llama3.2 model
rag application using llama3.2

text generation
Gemini embedding
finetuning
python course playlist
python tutorial
python projects with source code for beginners
python projects for resumes
python projects for beginners
python projects for resume with source code
python projects for beginners advanced
Generative Ai projects
AI projects
LLM projects
meta llama3.1 projects
Gemini ai projects
LLM resume projects
Generative AI resume projects

Комментарии

Информация по комментариям в разработке